Discover why chasing perfect forecast accuracy is a futile endeavor and how period-to-period volatility is silently sabotaging your supply chain.
For decades, manufacturers have invested in advanced forecasting tools, yet extreme supply chain volatility remains a structural issue rather than a fixable one. This ongoing instability is driven by aggregation that hides true SKU-level variance, demand sensing that amplifies short-term noise into permanent records, and human overrides that further distort the data. As a result, forecast variability propagates directly into supply decisions with little to no dampening. This creates a compounding financial disaster: inventory ratchets up on items with low actual demand, expedited freight costs multiply to cover sudden stock-outs, and production capacity is whipsawed between expensive overtime and idle periods. Ultimately, this results in stagnant inventory turns and a failure to improve order fill rates.
To convince boards and CFOs that systemic change is needed, supply chain leaders must visualize this problem by building a “forecast waterfall”. By analyzing historical forecasts against actual realized demand, companies can uncover the true cost of their current system. A variability range above 75 percentage points confirms that forecast-led planning is fundamentally misaligned with the business. Download this brief to learn how to diagnose your organization’s forecast volatility using your own data, and discover why transitioning to an operating model that absorbs variation is the only durable solution.
Watch the webinar ‘The Trillion-Dollar Trap: Why Your Demand Plan Is Holding Your Capital Hostage‘.